Snowflake has become a go-to platform for storing and querying operational data at scale. SQL is excellent at filtering rows, joining tables, and aggregating numbers. But there's a class of questions where SQL starts to struggle: questions about connections.Which machines in a production line depend on this one? If this component fails, what else goes down with it? Which assets play equivalent structural roles across parallel workflows? These are fundamentally questions about relationships, and answering them in SQL requires increasingly complex recursive queries as the number of hops grows.